Abstract
The last decade has witnessed a tremendous growth of web services. web services are enabling organizations to use web as a market for selling their own web services. Nevertheless, it becomes more difficult to find the most appropriate web service that satisfies users’ functional and non-functional requirements. Most of the former works in web service selection treat the QoS values as constants. However, QoS values of a service as perceived by a given user are intrinsically random. Proposed method mentioned is a novel approach to select the optimal web service considering response time and network latency using Hidden Markov Model.
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